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用于可持续发展和韧性的智慧城市软件应用程序。

Smart cities software applications for sustainability and resilience.

作者信息

Okonta Donatus Ebere, Vukovic Vladimir

机构信息

School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, United Kingdom.

出版信息

Heliyon. 2024 Jun 8;10(12):e32654. doi: 10.1016/j.heliyon.2024.e32654. eCollection 2024 Jun 30.

DOI:10.1016/j.heliyon.2024.e32654
PMID:39183850
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11341342/
Abstract

To transform urban areas into smart cities, various technologies-including software, user interfaces, communication networks, and the Internet of Things (IoT)-must tackle complex sustainability and resilience issues. This study aims to investigate the challenges of rapid urban population growth and explore how Information and Communication Technologies (ICT) can be utilized to foster the development of smart cities. Specifically, it seeks to understand how the integration of ICT can contribute to enhancing urban resilience, promoting urban sustainability, and improving citizens' quality of life. The study relied on a literature review, appraisals of fifteen (15) different Smart City software applications and their characteristics (spanning various domains, including data analytics, the Internet of Things (IoT), urban mobility, energy management, and citizen engagement platforms, all related to sustainability and resilience), and thirty (30) case studies cutting across sustainability and resilience. Furthermore, thematic analysis from the case studies was used to evaluate the benefits of smart city applications mapped to the six (6) action areas of Smart City. Based on the findings from case studies and smart city software analysis, rapid urbanisation presents multifaceted challenges like traffic congestion, disaster management, environmental degradation, community engagement, economic disparities, and so on. However, adopting Smart City software applications and aligning with various domains, including data analytics, the Internet of Things (IoT), urban mobility, energy management, and citizen engagement platforms, play pivotal roles in addressing these challenges. Further findings reveal that the benefits of smart city software align with the action areas of smart cities, including Governance, Mobility, Economy, Environment, Living, and People. The research offers practical application of smart city software for Urban designs and planners. It highlights the influence of contextual factors across countries on Smart City effectiveness. The study advances ICT-driven urban transformation, enhancing the quality of life in fast-growing cities.

摘要

要将城市地区转变为智慧城市,各种技术——包括软件、用户界面、通信网络和物联网(IoT)——必须应对复杂的可持续性和恢复力问题。本研究旨在调查城市人口快速增长带来的挑战,并探索如何利用信息通信技术(ICT)促进智慧城市的发展。具体而言,它试图了解ICT的整合如何有助于增强城市恢复力、促进城市可持续性以及提高市民的生活质量。该研究依赖于文献综述、对十五(15)种不同的智慧城市软件应用及其特性的评估(涵盖各个领域,包括数据分析、物联网(IoT)、城市交通、能源管理和市民参与平台,所有这些都与可持续性和恢复力相关),以及三十(30)个涉及可持续性和恢复力的案例研究。此外,通过对案例研究的主题分析来评估映射到智慧城市六个(6)行动领域的智慧城市应用的好处。基于案例研究和智慧城市软件分析的结果,快速城市化带来了多方面的挑战,如交通拥堵、灾害管理、环境退化、社区参与、经济差距等等。然而,采用智慧城市软件应用并与包括数据分析、物联网(IoT)、城市交通、能源管理和市民参与平台在内的各个领域保持一致,在应对这些挑战中发挥着关键作用。进一步的研究结果表明,智慧城市软件的好处与智慧城市的行动领域相一致,包括治理、交通、经济、环境、生活和人民。该研究为城市设计和规划者提供了智慧城市软件的实际应用。它强调了不同国家的背景因素对智慧城市有效性的影响。该研究推动了由ICT驱动的城市转型,提高了快速发展城市的生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/479bd311f805/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/6b660405e4ce/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/5e2671e93770/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/9eecda5201d6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/04dffebd4ce3/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/d1ef2bbbe840/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/479bd311f805/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/6b660405e4ce/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/5e2671e93770/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/9eecda5201d6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/04dffebd4ce3/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/d1ef2bbbe840/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a13/11341342/479bd311f805/gr6.jpg

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